A Novel Reactive Power Optimization in Distribution Network Based on Typical Scenarios Partitioning and Load Distribution Matching Method

A Novel Reactive Power Optimization in Distribution Network Based on Typical Scenarios Partitioning and Load Distribution Matching Method

This paper proposed an entropy weight optimum seeking method (EWOSM) based on the typical scenarios partitioning and load distribution matching, to solve the reactive power optimization problem in distribution network under the background of big data. Firstly, the mathematic model of reactive power...

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Bibliographic Details
Main Authors: Yuqi Ji, Keyan Liu, Guangfei Geng, Wanxing Sheng, Xiaoli Meng, Dongli Jia, Kaiyuan He
Format: Article
Language:English
Published: MDPI AG 2017-08-01
Series:Applied Sciences
Subjects:
entropy weight optimum seeking method (EWOSM)
big data
reactive power optimization in distribution network
typical scenarios partitioning
load distribution matching
multi-attribute decision making
Online Access:https://www.mdpi.com/2076-3417/7/8/787

Internet

https://www.mdpi.com/2076-3417/7/8/787

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